Technical - Partner Event
AI Seminar – Christopher Ceroici
When
Nov. 26, 2021 - Nov. 26, 2021
12:00 PM – 1:00 PM MST
Where
Online
Online
Presenter: Christopher Ceroici
Title: Annotation-Free Disease Detection in the Retina
Abstract: Retina disease affects over 500 million people worldwide. New methods of treatment as well diagnostics promises to dramatically improve patient outcomes and clinical efficiency over the coming years. A key component to some of these approaches rely on the ability to precisely identify regions of pathology in retina images. A major challenge with disease detection in retina images is the complexity and abundance of disease visual features. Hand annotating these diseases is therefor very time-consuming and laborious. Combined with the fact that retina specialists are some of the busiest and highest paid medical professionals, hand-annotating many thousands of images becomes impractically expensive.
To address this, we have developed a weakly-supervised segmentation approach in which we are able to train a model to precisely identify microaneurysms in diabetic retinopathy patients without the need for any hand annotation. We have applied this technique to a database of ~300,000 fluorescein angiography images and are currently beta testing our disease detection software at a retina clinic in Edmonton.
Bio: Chris Ceroici completed his PhD in biomedical engineering at the University of Alberta in 2019 and his MSc in electrical engineering at the University of Waterloo in 2014. He is currently the lead machine learning engineer at PulseMedica where he is focused on developing machine-learning based systems for diagnosing and treating retina disease.
The University of Alberta Artificial Intelligence (AI) Seminar is a weekly meeting where researchers (including students, developers, and professors) interested in AI can share their current research. Presenters include local speakers from the University of Alberta and industry as well as other institutions. The seminars discuss a wide range of topics related in any way to Artificial Intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems are of interest. Learn more at the AI Seminar website and by subscribing to the mailing list!
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